Parental?progeny?based best linear unbiased prediction for determining maize single?cross performance and resistance to Pythium root and stalk rot

Root and stalk rot (RSR) of maize (Zea mays L.) plants, caused by soil-borne disease pathogens the genus Pythium, can get worse in global warming. It has been known that resistance F1 hybrids often disaccords with those their parental inbreds, which makes it difficult to develop resistant effectively. Best linear unbiased prediction (BLUP) is a standard mixed model equation, fitted for predicting hybrid performance inbreds maize. The objective this study was evaluate simple parental-progeny-based BLUP single-cross determine importance general combining ability Pythium RSR. from consistent empirical knowledge determined mostly useful, despite not using coefficient coancestry. Correlation coefficients between breeding values actual field data hybrids, across different experiments 2018 2019, were relatively high (R = 0.854 0.703, respectively). These results indicate potential performance. This first report BLUP, findings be applied routine programs as well genome-wide molecular polymorphism contribute future programs.